Spatial Regression Application to Assess Factors Affecting the Event of DHF in East Java in 2018
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Background: Dengue Hemorrhagic Fever (DHF) is still one of the main public health problems in Indonesia. In 2018 in East Java DHF cases reached 9,425 cases with an incident rate of 23.9 per 100,000 population. Dengue fever is classified as an infectious disease originating from animals, the transmission of which tends to be influenced by many regional factors such as population density, population mobility, urbanization, and community behavior.
Objective: this study was to apply spatial regression to determine the factors of the incidence of DHF in East Java in 2018.
Methods: This research that uses secondary data. The data was obtained from the 2018 East Java Health Office profile book and the East Java Central Statistics Agency. The variables taken are the incidence of dengue fever, population density, PHBS in the household, healthy homes, and availability of clean water. Analysis of the data used in this study is Spatial Regression.
Result: this study get the R-square results from the Spatial Error Model (SEM) regression model of 0.3921 and the R-square results from the Autoregressive Model (SAR) regression model of 0.03824.
Conclusion: this study is that there is a relationship between Population Density, PHBS, Healthy Homes, and Availability of Clean Water on the incidence of DHF. With the results of this study, the SEM method can estimate the effect of 39.21% on the incidence of DHF and the SAR model can estimate the effect of 38.24% on the incidence of DHF.
Anselin, L. (1988) ‘Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches', International Regional Science Review, 11(3), pp. 279–316. Available at: https://doi.org/10.1177/016001768801100307.
Achmadi, U.F. (2009) ‘Manajemen Penyakit Lingkungan Berbasis Wilayah', Jurnal Manajemen Pelayanan Kesehatan, 11(02), pp. 72–76.
Anselin, L. (1892) ‘The dublin university honorary degrees', British Medical Journal, 1(1642), p. 1321. Available at: https://doi.org/10.1136/bmj.1.1642.1321-a.
BPS RI (2010) ‘Regulation of the Head of the Central Bureau of Statistics Number 37 Number 2010 concerning Urban and Rural Classification in Indonesia', Indonesian Central Bureau of Statistics, pp. 1–680.
Iklim, H. et al. (2010) ‘Perhimpunan Entomologi Indonesia', J. Entomol. Indon, 7(1), pp. 42–53.
Kemkes RI (2020) Profil Kesehatan Indonesia, IT - Information Technology. Available at: https://doi.org/10.1524/itit.2006.48.1.6.
Lembo, A.J. (2006) ‘Spatial Autocorrelation', Cornell University [Preprint].
Sadyohutomo, M. (2008) Manajemen kota dan wilayah: realita & tantangan. Bumi Aksara.
LeSage, J. and Pace, R.K. (2009) Introduction to spatial econometrics. Chapman and Hall/CRC.
Organization, W.H. (2016) ‘Dengue', Dengue in the South-East Asia, 41(December). Available at: https://www.who.int/publications/i/item/dengue-bulletin-vol-41?sequence=1&isAllowed=y.
Permenkes No. 492/Th.2010 (2010) ‘Persyaratan Kualitas Air Minum', Peraturan Mentri Kesehatan Republik Indonesia [Preprint].
Fabiana Meijon Fadul (2019) ‘Demam Berdarah Dengue', (Dd), pp. 7–32.
Badan Pusat Statistik (2010) ‘Penduduk Indonesia : Hasil Sensus Penduduk 2010', Badan Statistik Indonesia, p. 706. Available at: https://www.bps.go.id/.
Last, J.M. (1986) ‘A dictionary of epidemiology', International Journal of Epidemiology, 15(2), p. 277. Available at: https://doi.org/10.1093/ije/15.2.277.
Prof. Dr. Suyono, M.S. (2006) Analisis Regresi untuk Penelitian, Deepublish. Available at: https://www.ptonline.com/articles/how-to-get-better-mfi-results.
Anselin, L. (2021) ‘Spatial Models in Econometric Research', Oxford Research Encyclopedia of Economics and Finance [Preprint]. Available at: https://doi.org/10.1093/acrefore/9780190625979.013.643.
WHO (2016) WHO Country Cooperation Strategy 2014-2019 - Indonesia, Country Cooperation Strategy. Available at: https://apps.who.int/iris/bitstream/handle/10665/250550/ccs_idn_2014_2019_en.pdf?sequence=1&isAllowed=y.
Nirwansyah, A.W. (2017) Dasar Sistem Informasi Geografi dan Aplikasinya Menggunakan ARCGIS 9.3, Deepublish. Deepublish.
Lee, J., & Wong, D.W.S. (2011) Statistical Analysis with Arcview GIS. John Wiley & Sons. Available at: https://books.google.co.id/books?hl=id&lr=&id=fqueoZP9ScgC&oi=fnd%0A&pg=PR7&ots=3Lt6JnClVh&sig=5LrBR2TiAZ2NwBFcDejSEuKsIQ&redir_esc=y#v=onepage&q&f=false%0D.
RI, K. (2010) ‘Demam berdarah dengue', Bul Jendela Epidemiol, 2, pp. 1–48.
RI, K. (2015) ‘Kementerian Kesehatan Republik Indonesia Tahun 2011'.
Sadyohutomo, M. (2008) Manajemen kota dan wilayah: realita & tantangan. Bumi Aksara.
Schmidt, M.W.I. et al. (2011) ‘Persistence of soil organic matter as an ecosystem property', Nature, 478(7367), pp. 49–56.
Sholihah, Q. (2013) ‘Hubungan Kondisi Sanitasi Lingkungan, Pengetahuan Dan Tingkat Pendidikan Terhadap Kejadian Demam Berdarah Dengue (Dbd) Di Kelurahan Lontar Kecamatan Sambikereb Kota Surabaya', Journal Univeristas Negeri Surabaya, 1(1), pp. 219–228. Available at: https://journal.fkm.ui.ac.id/.
Suyasa, I.G., Putra, N.A. and Aryanta, I.R. (2008) ‘Hubungan faktor lingkungan dan perilaku masyarakat dengan keberadaan vektor demam berdarah dengue (DBD) di wilayah kerja Puskesmas I Denpasar Selatan.', Suyasa, I.G., Putra, N.A. and Aryanta, I.R., 2008. Hubungan faktor lingkungan dan perilaku masyarakat dengan keberadaan vektor demam berdarah dengue (DBD) di wilayah kerja Puskesmas I Denpasar Selatan. Journal of Environmental Science, 3(1), p.32, 3(1), pp. 1–6.
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